{"id":"W3000606436","doi":"10.1007/s10570-019-02956-2","title":"Low consistency refined ligno-cellulose microfibre: an MFC alternative for high bulk, tear and tensile mechanical pulp papers","year":2020,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; BC Hydro","keywords":"Pulp (tooth); Ultimate tensile strength; Kraft process; Materials science; Tear resistance; Microfiber; Kraft paper; Composite material; Pulp and paper industry; Elongation; Cellulose; Chemistry; Organic chemistry; Dentistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001998872,0.0003039067,0.0002103982,0.0005499445,0.0002022653,0.0003099564,0.0001856705,0.0003247363,0.0008396768],"category_scores_gemma":[0.000136906,0.0001386248,0.0002667908,0.0002261739,0.0001270674,0.0004591936,0.0001605922,0.0004988824,0.0002909814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000209008,"about_ca_system_score_gemma":0.000150682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005522852,"about_ca_topic_score_gemma":0.003149808,"domain_scores_codex":[0.9998856,0.0000105862,0.000006291585,0.00001892439,0.00005593064,0.00002272495],"domain_scores_gemma":[0.9999144,0.00001079987,0.00002316198,0.000006229458,0.00002382075,0.0000216337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004454524,0.00004084533,0.0001403778,0.00009336883,0.000005042193,0.0001202925,0.00001684815,0.0001524979,0.994386,0.0001301813,0.00003606348,0.004833878],"study_design_scores_gemma":[0.000008696172,0.0005197289,0.005114861,0.00002853979,0.00002798314,0.000376781,0.00005952062,0.001324904,0.9879702,0.00008097769,0.004468645,0.00001907607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810969,0.00467022,0.01005732,0.00006765181,0.00006969609,0.00006048864,0.0001156306,0.00008070528,0.003781464],"genre_scores_gemma":[0.9902198,0.00127333,0.00668843,0.00003292597,0.00001606365,0.00002031708,0.00005457394,0.00001740626,0.001677329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008396768,"threshold_uncertainty_score":0.002808988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910534789479411,"score_gpt":0.2769334416326726,"score_spread":0.2478280937378785,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}